AI-ready questions test whether you can reason about LLMs and AI systems as engineering material — limits, costs, evaluation, failure modes — not just hype.
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A load forecasting vendor’s AI model is trained partly on aggregated data from other utility customers, and it’s being pitched as more accurate because of it. What would you want resolved before your operational data becomes part of that pool?
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